Centralized patient monitoring with real time dengue outbreak detection system
- 1. CENTRALIZED PATIENT MONITORING WITH REAL TIME DENGUE OUTBREAK DETECTION SYSTEM
- 3. A doctor or nurse in a hospital cannot be with each patient at all times, even with patients in the ICU, in order to attend to other existing and new incoming patients. Normally, a nurse visits a patient after set regular intervals to administer medications and check vital statistics, but sometimes this is not enough. There have been instances when complications occurred-severe and otherwise-due to delay in providing necessary care when the patient's vitals started to deteriorate just because nurses and doctors could not be timely notified. Clearly, a solution that could automate monitoring and notifications would be a godsend in such a typical healthcare scenario. 3
- 4. 1. Impact
- 5. As we know Data is the new oil. Data in traffic management leads to smart transportation and similarly data in healthcare will lead to smart hospitals. All member hospitals and a bunch of insurance companies will be part of a dedicated Blockchain network, including real-time patient monitoring data recorded through IoT devices. This can facilitate transparent sharing of patient data across hospitals and insurers. In real time the analyzed data will generate some decision which will automatically sent to the doctors and nurses. This can help in pre cautions. On the other hand our real time dengue outbreak detection system can detect this deadly disease and helps in early prevention. We know states like West Bengal, Maharashtra and capital like Delhi are highly effected by this disease and our motto “Detect and Prevent” can be a game changer in the healthcare domain. 5
- 7. The solution involves creating a network of two IoT devices-connected via an Azure IoT Hub-one for collecting patient data(device with sensors) and the other for taking action based on collected data(device with actuator). Data is processed and the action to be taken is calculated over at the hub. Depending on the size of hospital and other factors, an actual deployment of such a solution would be larger and more sophisticated than my two- device setup, but the basics would remain the same. Following is a visual depiction of the proposed solution: 7
- 9. ◂ Step 1 A standard medical device connected to the patient constantly records their vitals-body temperature, pulse rate, respiration rate, and blood pressure. ◂ Step 2 An IoT device (Device 1) is connected to patient’s medical device through GIOP or a wireless interface. Device 1 receives all data being recorded by the medical device. Apart from that, it has its own sensors to measure room’s temperature and humidity values. A combination of all these statistics is necessary to reliably monitor the patient's health. 9
- 10. ◂ Step 3 Device 1 sends out the combined telemetry data to our IoT Hub. An application (solution back-end) written to receive hub’s incoming messages constantly analyzes the input stream of data. If the values lie within normal ranges, no action is taken. Conversely, if our logic detects an anomaly it sends out a message to device 2 to trigger an alarm. As an added precaution, a push notification is relayed to doctors’ phones through an Azure Notification hub. ◂ Step 4 Device 2 installed outside the patient's room- continuously listens to our IoT Hub. Depending on the severity of message received from hub, it triggers a physical alarm connected to it as an actuator. 10
- 11. ◂ Step 5 A physical alarm immediately catches the attention of nearby staff, reducing potential delays in patient getting professional medical help. 11
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- 13. 1. Use Case
- 14. 14 REAL TIME DENGUE OUTBREAK DETECTION SYSTEM Dengue fever is a mosquito-borne viral disease, common in India and other parts of South Asia. If not detected and treated early, dengue can be fatal. As per online statistics, hundreds of millions of people are affected by the disease each year and about 20,000 die because of it. The disease starts as a regular virus and gradually becomes severe in some cases(within 7-10 days).
- 15. Dengue outbreaks recur every year in certain areas, and timely detection of such outbreaks may help in timely and effective public health interventions. Symptoms of the diseases include, among several others: ◂ High fever ◂ Rapid breathing ◂ Severe abdominal pain We are designing a real-time dengue outbreak detection system that one hospital or several hospitals (on a Blockchain) can use to take timely action. 15
- 16. Each IoT medical device will report the following telemetry data about a patient: ◂ Body temperature ◂ Respiration rate ◂ Abdominal pain score ◂ Location The location of a person can be easily tracked via GPS. We are creating simulated devices for the job that report telemetry data for each patient. We will locate the multiple locations reporting a bunch of dengue cases around the same time and thus the outbreak pattern. 16
- 18. ◂ Integration with our EMR or existing EMR for capturing the data and analysis for better decision making. ◂ Analysis based on streaming data to predict any related disease which will lead to early prevention. ◂ Generation of multidimensional data information through notifications. ◂ Virtual bots for better customer interactions 18
- 19. 19 Thanks!